New era in Molecular Biology

16/05/2024 By Goretti Moran de Luis

Another endless struggle is the one against cancer. Understanding how tumor cells grow uncontrollably and migrate to other organs is crucial for establishing specific treatments. In recent years, thanks to immunotherapy, survival rates have improved. Another very promising project is the use of nanoparticles loaded with drugs or messenger RNA (such as COVID-19 vaccines), which will be introduced into each tumor cell causing its death. If this is achieved, it will be a significant step in cancer treatment.

In addition to the advances described above, the use of artificial intelligence (AI) in biomedicine is perhaps the most striking. Companies like Google’s DeepMind use AI to identify changes in human DNA that cause diseases. Scientists believe they have identified almost 90% of the mutations that cause genetic pathologies. This tool will improve diagnosis and help find new treatments. With the complete sequence of human DNA, AI can detect mutations that lead to diseases. This allows researchers to focus on specific areas of DNA without studying the entire genome.

Google’s AI has developed a program called AlphaFold 3. It predicts the structure and interaction of proteins, which are vital for the cell. Changes in protein structure can prevent essential functions like metabolism, cell division, cell death, and DNA repair, leading to diseases. AlphaFold3 determines protein structures with high precision and speed, reducing years of research. Another AI, AlphaMissense, can determine the consequences of any change in protein composition (amino acid sequence).

Another very important tool is the combination of computational biology and AI because massive genomic sequencing generates a large amount of data that needs to be processed. These data alone do not tell us much so; tools are needed to combine data from various genetic, proteomic analyses, etc.

Despite these advances, there is a dark side. These AI tools, which could simplify scientific work, are often tied to a multi-billion dollar industry dominated by pharmaceutical companies.

https://www.genome.gov/es/genetics-glossary/Proyecto-Genoma-Humano

CRISPR/Cas9: https://link.springer.com/article/10.1007/s00239-004-0046-3

Information about artificial intelligence: https://genotipia.com, https://pubmed.ncbi.nlm.nih.gov/37733863/, https://deepmind.google/